Pandas Profiling Report

Brought to you by YData

Dataset statistics

Number of variables	18
Number of observations	15533
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	8.6 MiB
Average record size in memory	578.9 B

Variable types

Numeric	9
Categorical	5
Boolean	4

Alerts

`Gender` is highly overall correlated with `Height` and 2 other fields	High correlation
`Height` is highly overall correlated with `Gender`	High correlation
`Weight` is highly overall correlated with `Gender` and 2 other fields	High correlation
`WeightCategory` is highly overall correlated with `Gender` and 2 other fields	High correlation
`family_history_with_overweight` is highly overall correlated with `Weight` and 1 other fields	High correlation
`FAVC` is highly imbalanced (57.4%)	Imbalance
`CAEC` is highly imbalanced (61.2%)	Imbalance
`SMOKE` is highly imbalanced (91.0%)	Imbalance
`SCC` is highly imbalanced (79.0%)	Imbalance
`MTRANS` is highly imbalanced (63.7%)	Imbalance
`id` is uniformly distributed	Uniform
`id` has unique values	Unique
`FAF` has 3799 (24.5%) zeros	Zeros
`TUE` has 4966 (32.0%) zeros	Zeros

Reproduction

Analysis started	2025-10-23 08:56:39.115392
Analysis finished	2025-10-23 08:56:49.470211
Duration	10.35 seconds
Software version	ydata-profiling vv4.16.1
Download configuration	config.json

id
Real number (ℝ)

Uniform Unique

Distinct	15533
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	7766

Minimum	0
Maximum	15532
Zeros	1
Zeros (%)	< 0.1%
Negative	0
Negative (%)	0.0%
Memory size	121.5 KiB

Quantile statistics

Minimum	0
5-th percentile	776.6
Q1	3883
median	7766
Q3	11649
95-th percentile	14755.4
Maximum	15532
Range	15532
Interquartile range (IQR)	7766

Descriptive statistics

Standard deviation	4484.1352
Coefficient of variation (CV)	0.57740603
Kurtosis	-1.2
Mean	7766
Median Absolute Deviation (MAD)	3883
Skewness	0
Sum	1.2062928 × 10⁸
Variance	20107468
Monotonicity	Strictly increasing

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
15532	1	< 0.1%
0	1	< 0.1%
1	1	< 0.1%
2	1	< 0.1%
3	1	< 0.1%
4	1	< 0.1%
5	1	< 0.1%
6	1	< 0.1%
7	1	< 0.1%
8	1	< 0.1%
Other values (15523)	15523	99.9%

Value	Count	Frequency (%)
0	1	< 0.1%
1	1	< 0.1%
2	1	< 0.1%
3	1	< 0.1%
4	1	< 0.1%
5	1	< 0.1%
6	1	< 0.1%
7	1	< 0.1%
8	1	< 0.1%
9	1	< 0.1%

Value	Count	Frequency (%)
15532	1	< 0.1%
15531	1	< 0.1%
15530	1	< 0.1%
15529	1	< 0.1%
15528	1	< 0.1%
15527	1	< 0.1%
15526	1	< 0.1%
15525	1	< 0.1%
15524	1	< 0.1%
15523	1	< 0.1%

Gender
Categorical

High correlation

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	819.2 KiB

Male	7783
Female	7750

Length

Max length	6
Median length	4
Mean length	4.9978755
Min length	4

Characters and Unicode

Total characters	77632
Distinct characters	6
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Male
2nd row	Female
3rd row	Female
4th row	Female
5th row	Male

Common Values

Value	Count	Frequency (%)
Male	7783	50.1%
Female	7750	49.9%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
male	7783	50.1%
female	7750	49.9%

Most occurring characters

Value	Count	Frequency (%)
e	23283	30.0%
a	15533	20.0%
l	15533	20.0%
M	7783	10.0%
F	7750	10.0%
m	7750	10.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	62099	80.0%
Uppercase Letter	15533	20.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	23283	37.5%
a	15533	25.0%
l	15533	25.0%
m	7750	12.5%

Uppercase Letter

Value	Count	Frequency (%)
M	7783	50.1%
F	7750	49.9%

Most occurring scripts

Value	Count	Frequency (%)
Latin	77632	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	23283	30.0%
a	15533	20.0%
l	15533	20.0%
M	7783	10.0%
F	7750	10.0%
m	7750	10.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	77632	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	23283	30.0%
a	15533	20.0%
l	15533	20.0%
M	7783	10.0%
F	7750	10.0%
m	7750	10.0%

Age
Real number (ℝ)

Distinct	1602
Distinct (%)	10.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	23.816308

Minimum	14
Maximum	61
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	121.5 KiB

Quantile statistics

Minimum	14
5-th percentile	17.971786
Q1	20
median	22.771612
Q3	26
95-th percentile	35.322112
Maximum	61
Range	47
Interquartile range (IQR)	6

Descriptive statistics

Standard deviation	5.663167
Coefficient of variation (CV)	0.23778526
Kurtosis	3.5963108
Mean	23.816308
Median Absolute Deviation (MAD)	3.228388
Skewness	1.5719763
Sum	369938.71
Variance	32.07146
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
18	1438	9.3%
26	1337	8.6%
21	1252	8.1%
23	900	5.8%
19	674	4.3%
20	395	2.5%
17	394	2.5%
22	381	2.5%
33	156	1.0%
27	130	0.8%
Other values (1592)	8476	54.6%

Value	Count	Frequency (%)
14	3	< 0.1%
15	2	< 0.1%
16	75	0.5%
16.093234	3	< 0.1%
16.120699	1	< 0.1%
16.129279	5	< 0.1%
16.140751	1	< 0.1%
16.172992	3	< 0.1%
16.178483	1	< 0.1%
16.198153	2	< 0.1%

Value	Count	Frequency (%)
61	2	< 0.1%
56	1	< 0.1%
55.493687	1	< 0.1%
55.272573	1	< 0.1%
55.24625	1	< 0.1%
55.137881	2	< 0.1%
55.022494	8	0.1%
55	27	0.2%
52	2	< 0.1%
51	1	< 0.1%

Height
Real number (ℝ)

High correlation

Distinct	1723
Distinct (%)	11.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.6999182

Minimum	1.45
Maximum	1.975663
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	121.5 KiB

Quantile statistics

Minimum	1.45
5-th percentile	1.556211
Q1	1.630927
median	1.7
Q3	1.762921
95-th percentile	1.8457554
Maximum	1.975663
Range	0.525663
Interquartile range (IQR)	0.131994

Descriptive statistics

Standard deviation	0.087670026
Coefficient of variation (CV)	0.051573086
Kurtosis	-0.56183456
Mean	1.6999182
Median Absolute Deviation (MAD)	0.066509
Skewness	0.01000144
Sum	26404.829
Variance	0.0076860335
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1.7	1018	6.6%
1.65	570	3.7%
1.75	504	3.2%
1.6	491	3.2%
1.8	394	2.5%
1.62	303	2.0%
1.72	230	1.5%
1.56	190	1.2%
1.63	186	1.2%
1.55	164	1.1%
Other values (1713)	11483	73.9%

Value	Count	Frequency (%)
1.45	2	< 0.1%
1.456346	2	< 0.1%
1.48	8	0.1%
1.481682	1	< 0.1%
1.483284	1	< 0.1%
1.486484	3	< 0.1%
1.489409	1	< 0.1%
1.498561	3	< 0.1%
1.5	131	0.8%
1.502609	2	< 0.1%

Value	Count	Frequency (%)
1.975663	4	< 0.1%
1.947406	3	< 0.1%
1.942725	3	< 0.1%
1.931263	2	< 0.1%
1.931242	1	< 0.1%
1.930416	1	< 0.1%
1.93	11	0.1%
1.92	1	< 0.1%
1.919557	2	< 0.1%
1.919543	2	< 0.1%

Weight
Real number (ℝ)

High correlation

Distinct	1836
Distinct (%)	11.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	87.785225

Minimum	39
Maximum	165.05727
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	121.5 KiB

Quantile statistics

Minimum	39
5-th percentile	49
Q1	66
median	84
Q3	111.60055
95-th percentile	132.11649
Maximum	165.05727
Range	126.05727
Interquartile range (IQR)	45.600553

Descriptive statistics

Standard deviation	26.369144
Coefficient of variation (CV)	0.30038249
Kurtosis	-0.98657917
Mean	87.785225
Median Absolute Deviation (MAD)	22.735215
Skewness	0.10855155
Sum	1363567.9
Variance	695.33177
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
80	644	4.1%
75	494	3.2%
50	450	2.9%
60	377	2.4%
70	376	2.4%
45	242	1.6%
65	229	1.5%
78	225	1.4%
85	223	1.4%
42	213	1.4%
Other values (1826)	12060	77.6%

Value	Count	Frequency (%)
39	1	< 0.1%
39.101805	3	< 0.1%
39.12631	1	< 0.1%
39.371523	2	< 0.1%
39.535047	1	< 0.1%
39.581159	1	< 0.1%
39.695295	3	< 0.1%
39.850137	1	< 0.1%
40	2	< 0.1%
40.202773	3	< 0.1%

Value	Count	Frequency (%)
165.057269	3	< 0.1%
160.935351	11	0.1%
160.639405	3	< 0.1%
155.872093	2	< 0.1%
155.242672	2	< 0.1%
154.618446	3	< 0.1%
153.959945	2	< 0.1%
153.149491	6	< 0.1%
152.720545	4	< 0.1%
152.567671	5	< 0.1%

family_history_with_overweight
Boolean

High correlation

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	15.3 KiB

True	12696
False	2837

Value	Count	Frequency (%)
True	12696	81.7%
False	2837	18.3%

FAVC
Boolean

Imbalance

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	15.3 KiB

True	14184
False	1349

Value	Count	Frequency (%)
True	14184	91.3%
False	1349	8.7%

FCVC
Real number (ℝ)

Distinct	872
Distinct (%)	5.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.4429168

Minimum	1
Maximum	3
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	121.5 KiB

Quantile statistics

Minimum	1
5-th percentile	1.850496
Q1	2
median	2.34222
Q3	3
95-th percentile	3
Maximum	3
Range	2
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	0.53089467
Coefficient of variation (CV)	0.21732
Kurtosis	-0.91646326
Mean	2.4429168
Median Absolute Deviation (MAD)	0.405741
Skewness	-0.33204298
Sum	37945.826
Variance	0.28184915
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
2	5816	37.4%
3	5669	36.5%
1	199	1.3%
2.9673	92	0.6%
2.766612	39	0.3%
2.938616	37	0.2%
2.9553	31	0.2%
2.225149	24	0.2%
2.57649	23	0.1%
2.819934	23	0.1%
Other values (862)	3580	23.0%

Value	Count	Frequency (%)
1	199	1.3%
1.002564	1	< 0.1%
1.003566	2	< 0.1%
1.005578	12	0.1%
1.006436	1	< 0.1%
1.00876	5	< 0.1%
1.021136	1	< 0.1%
1.031149	11	0.1%
1.036159	6	< 0.1%
1.036414	4	< 0.1%

Value	Count	Frequency (%)
3	5669	36.5%
2.998441	2	< 0.1%
2.997951	8	0.1%
2.997524	4	< 0.1%
2.996717	8	0.1%
2.996186	5	< 0.1%
2.995599	3	< 0.1%
2.99448	1	< 0.1%
2.993634	1	< 0.1%
2.992606	1	< 0.1%

NCP
Real number (ℝ)

Distinct	645
Distinct (%)	4.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.7604249

Minimum	1
Maximum	4
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	121.5 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	3
median	3
Q3	3
95-th percentile	3.489918
Maximum	4
Range	3
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.70646285
Coefficient of variation (CV)	0.2559254
Kurtosis	1.8251762
Mean	2.7604249
Median Absolute Deviation (MAD)	0
Skewness	-1.5612644
Sum	42877.68
Variance	0.49908976
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
3	10985	70.7%
1	1493	9.6%
4	536	3.5%
2.993623	30	0.2%
2.695396	19	0.1%
1.894384	18	0.1%
2.658837	17	0.1%
2.993634	16	0.1%
2.962004	16	0.1%
2.977909	16	0.1%
Other values (635)	2387	15.4%

Value	Count	Frequency (%)
1	1493	9.6%
1.000283	3	< 0.1%
1.000414	2	< 0.1%
1.00061	5	< 0.1%
1.001383	2	< 0.1%
1.001542	7	< 0.1%
1.001633	7	< 0.1%
1.009426	4	< 0.1%
1.010319	6	< 0.1%
1.014916	2	< 0.1%

Value	Count	Frequency (%)
4	536	3.5%
3.998766	2	< 0.1%
3.998618	4	< 0.1%
3.995957	2	< 0.1%
3.995147	3	< 0.1%
3.994588	3	< 0.1%
3.990925	2	< 0.1%
3.98955	4	< 0.1%
3.989492	1	< 0.1%
3.987707	7	< 0.1%

CAEC
Categorical

Imbalance

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	879.3 KiB

Sometimes	13126
Frequently	1858
Always	346
no	203

Length

Max length	10
Median length	9
Mean length	8.9613082
Min length	2

Characters and Unicode

Total characters	139196
Distinct characters	17
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Sometimes
2nd row	Frequently
3rd row	Sometimes
4th row	Sometimes
5th row	Sometimes

Common Values

Value	Count	Frequency (%)
Sometimes	13126	84.5%
Frequently	1858	12.0%
Always	346	2.2%
no	203	1.3%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
sometimes	13126	84.5%
frequently	1858	12.0%
always	346	2.2%
no	203	1.3%

Most occurring characters

Value	Count	Frequency (%)
e	29968	21.5%
m	26252	18.9%
t	14984	10.8%
s	13472	9.7%
o	13329	9.6%
S	13126	9.4%
i	13126	9.4%
y	2204	1.6%
l	2204	1.6%
n	2061	1.5%
Other values (7)	8470	6.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	123866	89.0%
Uppercase Letter	15330	11.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	29968	24.2%
m	26252	21.2%
t	14984	12.1%
s	13472	10.9%
o	13329	10.8%
i	13126	10.6%
y	2204	1.8%
l	2204	1.8%
n	2061	1.7%
r	1858	1.5%
Other values (4)	4408	3.6%

Uppercase Letter

Value	Count	Frequency (%)
S	13126	85.6%
F	1858	12.1%
A	346	2.3%

Most occurring scripts

Value	Count	Frequency (%)
Latin	139196	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	29968	21.5%
m	26252	18.9%
t	14984	10.8%
s	13472	9.7%
o	13329	9.6%
S	13126	9.4%
i	13126	9.4%
y	2204	1.6%
l	2204	1.6%
n	2061	1.5%
Other values (7)	8470	6.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	139196	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	29968	21.5%
m	26252	18.9%
t	14984	10.8%
s	13472	9.7%
o	13329	9.6%
S	13126	9.4%
i	13126	9.4%
y	2204	1.6%
l	2204	1.6%
n	2061	1.5%
Other values (7)	8470	6.1%

SMOKE
Boolean

Imbalance

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	15.3 KiB

False	15356
True	177

Value	Count	Frequency (%)
False	15356	98.9%
True	177	1.1%

CH2O
Real number (ℝ)

Distinct	1408
Distinct (%)	9.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.0276261

Minimum	1
Maximum	3
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	121.5 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	1.796257
median	2
Q3	2.531456
95-th percentile	3
Maximum	3
Range	2
Interquartile range (IQR)	0.735199

Descriptive statistics

Standard deviation	0.60773268
Coefficient of variation (CV)	0.29972621
Kurtosis	-0.73670285
Mean	2.0276261
Median Absolute Deviation (MAD)	0.39886
Skewness	-0.20927674
Sum	31495.116
Variance	0.36933901
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
2	4992	32.1%
1	2117	13.6%
3	1172	7.5%
2.868167	50	0.3%
2.825629	48	0.3%
2.619517	45	0.3%
2.72005	42	0.3%
2.625537	40	0.3%
2.770732	38	0.2%
2.613928	33	0.2%
Other values (1398)	6956	44.8%

Value	Count	Frequency (%)
1	2117	13.6%
1.000463	2	< 0.1%
1.000536	4	< 0.1%
1.000544	4	< 0.1%
1.000695	2	< 0.1%
1.001208	1	< 0.1%
1.001995	1	< 0.1%
1.002292	6	< 0.1%
1.003063	2	< 0.1%
1.003531	1	< 0.1%

Value	Count	Frequency (%)
3	1172	7.5%
2.999495	3	< 0.1%
2.99675	1	< 0.1%
2.991671	2	< 0.1%
2.989389	3	< 0.1%
2.988771	2	< 0.1%
2.987718	6	< 0.1%
2.987406	2	< 0.1%
2.984323	3	< 0.1%
2.984153	6	< 0.1%

SCC
Boolean

Imbalance

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	15.3 KiB

False	15019
True	514

Value	Count	Frequency (%)
False	15019	96.7%
True	514	3.3%

FAF
Real number (ℝ)

Zeros

Distinct	1274
Distinct (%)	8.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.9769677

Minimum	0
Maximum	3
Zeros	3799
Zeros (%)	24.5%
Negative	0
Negative (%)	0.0%
Memory size	121.5 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0.00705
median	1
Q3	1.582675
95-th percentile	2.491946
Maximum	3
Range	3
Interquartile range (IQR)	1.575625

Descriptive statistics

Standard deviation	0.83684097
Coefficient of variation (CV)	0.85656974
Kurtosis	-0.47443387
Mean	0.9769677
Median Absolute Deviation (MAD)	0.869583
Skewness	0.51452887
Sum	15175.239
Variance	0.7003028
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	3799	24.5%
1	3103	20.0%
2	1737	11.2%
3	603	3.9%
0.01586	37	0.2%
1.097905	35	0.2%
1.68249	33	0.2%
1.427037	33	0.2%
1.866839	27	0.2%
0.926201	24	0.2%
Other values (1264)	6102	39.3%

Value	Count	Frequency (%)
0	3799	24.5%
9.6 × 10^-5	7	< 0.1%
0.000272	8	0.1%
0.000454	7	< 0.1%
0.001015	8	0.1%
0.001086	7	< 0.1%
0.001272	5	< 0.1%
0.001297	18	0.1%
0.00203	4	< 0.1%
0.00342	7	< 0.1%

Value	Count	Frequency (%)
3	603	3.9%
2.999918	2	< 0.1%
2.977543	1	< 0.1%
2.971832	2	< 0.1%
2.936551	4	< 0.1%
2.931527	3	< 0.1%
2.892922	17	0.1%
2.891986	7	< 0.1%
2.89118	8	0.1%
2.881838	1	< 0.1%

TUE
Real number (ℝ)

Zeros

Distinct	1207
Distinct (%)	7.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.61381329

Minimum	0
Maximum	2
Zeros	4966
Zeros (%)	32.0%
Negative	0
Negative (%)	0.0%
Memory size	121.5 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0.566353
Q3	1
95-th percentile	2
Maximum	2
Range	2
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	0.60222272
Coefficient of variation (CV)	0.9811171
Kurtosis	-0.41502667
Mean	0.61381329
Median Absolute Deviation (MAD)	0.460458
Skewness	0.67442988
Sum	9534.3619
Variance	0.3626722
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	4966	32.0%
1	3255	21.0%
2	844	5.4%
0.0026	60	0.4%
0.723154	46	0.3%
0.088236	43	0.3%
0.630866	37	0.2%
0.15171	37	0.2%
0.62535	31	0.2%
0.200379	30	0.2%
Other values (1197)	6184	39.8%

Value	Count	Frequency (%)
0	4966	32.0%
7.3 × 10^-5	2	< 0.1%
0.000355	1	< 0.1%
0.000436	3	< 0.1%
0.001096	5	< 0.1%
0.00133	10	0.1%
0.001337	6	< 0.1%
0.00135	1	< 0.1%
0.001518	9	0.1%
0.00159	9	0.1%

Value	Count	Frequency (%)
2	844	5.4%
1.99219	2	< 0.1%
1.990925	1	< 0.1%
1.990617	3	< 0.1%
1.983678	1	< 0.1%
1.980875	5	< 0.1%
1.978043	7	< 0.1%
1.972926	2	< 0.1%
1.97117	10	0.1%
1.969507	5	< 0.1%

CALC
Categorical

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	854.1 KiB

Sometimes	11285
no	3841
Frequently	407

Length

Max length	10
Median length	9
Mean length	7.2952424
Min length	2

Characters and Unicode

Total characters	113317
Distinct characters	14
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Sometimes
2nd row	no
3rd row	no
4th row	Sometimes
5th row	Sometimes

Common Values

Value	Count	Frequency (%)
Sometimes	11285	72.7%
no	3841	24.7%
Frequently	407	2.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
sometimes	11285	72.7%
no	3841	24.7%
frequently	407	2.6%

Most occurring characters

Value	Count	Frequency (%)
e	23384	20.6%
m	22570	19.9%
o	15126	13.3%
t	11692	10.3%
S	11285	10.0%
i	11285	10.0%
s	11285	10.0%
n	4248	3.7%
F	407	0.4%
r	407	0.4%
Other values (4)	1628	1.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	101625	89.7%
Uppercase Letter	11692	10.3%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	23384	23.0%
m	22570	22.2%
o	15126	14.9%
t	11692	11.5%
i	11285	11.1%
s	11285	11.1%
n	4248	4.2%
r	407	0.4%
q	407	0.4%
u	407	0.4%
Other values (2)	814	0.8%

Uppercase Letter

Value	Count	Frequency (%)
S	11285	96.5%
F	407	3.5%

Most occurring scripts

Value	Count	Frequency (%)
Latin	113317	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	23384	20.6%
m	22570	19.9%
o	15126	13.3%
t	11692	10.3%
S	11285	10.0%
i	11285	10.0%
s	11285	10.0%
n	4248	3.7%
F	407	0.4%
r	407	0.4%
Other values (4)	1628	1.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	113317	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	23384	20.6%
m	22570	19.9%
o	15126	13.3%
t	11692	10.3%
S	11285	10.0%
i	11285	10.0%
s	11285	10.0%
n	4248	3.7%
F	407	0.4%
r	407	0.4%
Other values (4)	1628	1.4%

MTRANS
Categorical

Imbalance

Distinct	5
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.0 MiB

Public_Transportation	12470
Automobile	2669
Walking	340
Motorbike	30
Bike	24

Length

Max length	21
Median length	21
Mean length	18.754008
Min length	4

Characters and Unicode

Total characters	291306
Distinct characters	23
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Public_Transportation
2nd row	Automobile
3rd row	Public_Transportation
4th row	Public_Transportation
5th row	Public_Transportation

Common Values

Value	Count	Frequency (%)
Public_Transportation	12470	80.3%
Automobile	2669	17.2%
Walking	340	2.2%
Motorbike	30	0.2%
Bike	24	0.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
public_transportation	12470	80.3%
automobile	2669	17.2%
walking	340	2.2%
motorbike	30	0.2%
bike	24	0.2%

Most occurring characters

Value	Count	Frequency (%)
o	30338	10.4%
i	28003	9.6%
t	27639	9.5%
a	25280	8.7%
n	25280	8.7%
r	24970	8.6%
l	15479	5.3%
b	15169	5.2%
u	15139	5.2%
P	12470	4.3%
Other values (13)	71539	24.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	250833	86.1%
Uppercase Letter	28003	9.6%
Connector Punctuation	12470	4.3%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
o	30338	12.1%
i	28003	11.2%
t	27639	11.0%
a	25280	10.1%
n	25280	10.1%
r	24970	10.0%
l	15479	6.2%
b	15169	6.0%
u	15139	6.0%
c	12470	5.0%
Other values (6)	31066	12.4%

Uppercase Letter

Value	Count	Frequency (%)
P	12470	44.5%
T	12470	44.5%
A	2669	9.5%
W	340	1.2%
M	30	0.1%
B	24	0.1%

Connector Punctuation

Value	Count	Frequency (%)
_	12470	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	278836	95.7%
Common	12470	4.3%

Most frequent character per script

Latin

Value	Count	Frequency (%)
o	30338	10.9%
i	28003	10.0%
t	27639	9.9%
a	25280	9.1%
n	25280	9.1%
r	24970	9.0%
l	15479	5.6%
b	15169	5.4%
u	15139	5.4%
P	12470	4.5%
Other values (12)	59069	21.2%

Common

Value	Count	Frequency (%)
_	12470	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	291306	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
o	30338	10.4%
i	28003	9.6%
t	27639	9.5%
a	25280	8.7%
n	25280	8.7%
r	24970	8.6%
l	15479	5.3%
b	15169	5.2%
u	15139	5.2%
P	12470	4.3%
Other values (13)	71539	24.6%

WeightCategory
Categorical

High correlation

Distinct	7
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	987.2 KiB

Obesity_Type_III	2983
Obesity_Type_II	2403
Normal_Weight	2345
Obesity_Type_I	2207
Overweight_Level_II	1881
Other values (2)	3714

Length

Max length	19
Median length	16
Mean length	16.070109
Min length	13

Characters and Unicode

Total characters	249617
Distinct characters	27
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Overweight_Level_II
2nd row	Normal_Weight
3rd row	Insufficient_Weight
4th row	Obesity_Type_III
5th row	Overweight_Level_II

Common Values

Value	Count	Frequency (%)
Obesity_Type_III	2983	19.2%
Obesity_Type_II	2403	15.5%
Normal_Weight	2345	15.1%
Obesity_Type_I	2207	14.2%
Overweight_Level_II	1881	12.1%
Insufficient_Weight	1870	12.0%
Overweight_Level_I	1844	11.9%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
obesity_type_iii	2983	19.2%
obesity_type_ii	2403	15.5%
normal_weight	2345	15.1%
obesity_type_i	2207	14.2%
overweight_level_ii	1881	12.1%
insufficient_weight	1870	12.0%
overweight_level_i	1844	11.9%

Most occurring characters

Value	Count	Frequency (%)
e	36171	14.5%
_	26851	10.8%
I	23438	9.4%
i	19273	7.7%
t	17403	7.0%
y	15186	6.1%
O	11318	4.5%
s	9463	3.8%
g	7940	3.2%
h	7940	3.2%
Other values (17)	74634	29.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	170132	68.2%
Uppercase Letter	52634	21.1%
Connector Punctuation	26851	10.8%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	36171	21.3%
i	19273	11.3%
t	17403	10.2%
y	15186	8.9%
s	9463	5.6%
g	7940	4.7%
h	7940	4.7%
b	7593	4.5%
p	7593	4.5%
v	7450	4.4%
Other values (10)	34120	20.1%

Uppercase Letter

Value	Count	Frequency (%)
I	23438	44.5%
O	11318	21.5%
T	7593	14.4%
W	4215	8.0%
L	3725	7.1%
N	2345	4.5%

Connector Punctuation

Value	Count	Frequency (%)
_	26851	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	222766	89.2%
Common	26851	10.8%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	36171	16.2%
I	23438	10.5%
i	19273	8.7%
t	17403	7.8%
y	15186	6.8%
O	11318	5.1%
s	9463	4.2%
g	7940	3.6%
h	7940	3.6%
b	7593	3.4%
Other values (16)	67041	30.1%

Common

Value	Count	Frequency (%)
_	26851	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	249617	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	36171	14.5%
_	26851	10.8%
I	23438	9.4%
i	19273	7.7%
t	17403	7.0%
y	15186	6.1%
O	11318	4.5%
s	9463	3.8%
g	7940	3.2%
h	7940	3.2%
Other values (17)	74634	29.9%

	Age	CAEC	CALC	CH2O	FAF	FAVC	FCVC	Gender	Height	MTRANS	NCP	SCC	SMOKE	TUE	Weight	WeightCategory	family_history_with_overweight	id
Age	1.000	0.154	0.192	0.086	-0.274	0.122	0.096	0.254	0.016	0.363	-0.121	0.115	0.142	-0.302	0.438	0.347	0.301	0.007
CAEC	0.154	1.000	0.095	0.153	0.116	0.138	0.092	0.072	0.140	0.065	0.151	0.127	0.016	0.122	0.312	0.331	0.338	0.000
CALC	0.192	0.095	1.000	0.180	0.147	0.115	0.163	0.080	0.125	0.071	0.134	0.000	0.014	0.163	0.292	0.309	0.013	0.000
CH2O	0.086	0.153	0.180	1.000	0.059	0.166	0.110	0.331	0.189	0.101	0.077	0.077	0.051	-0.004	0.345	0.310	0.277	0.008
FAF	-0.274	0.116	0.147	0.059	1.000	0.135	-0.086	0.344	0.321	0.101	0.118	0.079	0.042	-0.017	-0.062	0.257	0.183	0.017
FAVC	0.122	0.138	0.115	0.166	0.135	1.000	0.094	0.020	0.152	0.124	0.052	0.112	0.013	0.138	0.237	0.274	0.151	0.016
FCVC	0.096	0.092	0.163	0.110	-0.086	0.094	1.000	0.402	-0.108	0.097	0.129	0.041	0.049	-0.134	0.227	0.325	0.132	-0.009
Gender	0.254	0.072	0.080	0.331	0.344	0.020	0.402	1.000	0.638	0.160	0.157	0.058	0.057	0.212	0.523	0.616	0.093	0.000
Height	0.016	0.140	0.125	0.189	0.321	0.152	-0.108	0.638	1.000	0.084	0.112	0.147	0.108	0.086	0.424	0.267	0.298	0.013
MTRANS	0.363	0.065	0.071	0.101	0.101	0.124	0.097	0.160	0.084	1.000	0.053	0.058	0.030	0.127	0.153	0.163	0.130	0.000
NCP	-0.121	0.151	0.134	0.077	0.118	0.052	0.129	0.157	0.112	0.053	1.000	0.070	0.006	0.128	-0.022	0.218	0.226	-0.005
SCC	0.115	0.127	0.000	0.077	0.079	0.112	0.041	0.058	0.147	0.058	0.070	1.000	0.017	0.067	0.206	0.217	0.162	0.000
SMOKE	0.142	0.016	0.014	0.051	0.042	0.013	0.049	0.057	0.108	0.030	0.006	0.017	1.000	0.031	0.073	0.100	0.017	0.017
TUE	-0.302	0.122	0.163	-0.004	-0.017	0.138	-0.134	0.212	0.086	0.127	0.128	0.067	0.031	1.000	-0.062	0.248	0.201	0.001
Weight	0.438	0.312	0.292	0.345	-0.062	0.237	0.227	0.523	0.424	0.153	-0.022	0.206	0.073	-0.062	1.000	0.647	0.589	0.014
WeightCategory	0.347	0.331	0.309	0.310	0.257	0.274	0.325	0.616	0.267	0.163	0.218	0.217	0.100	0.248	0.647	1.000	0.559	0.008
family_history_with_overweight	0.301	0.338	0.013	0.277	0.183	0.151	0.132	0.093	0.298	0.130	0.226	0.162	0.017	0.201	0.589	0.559	1.000	0.000
id	0.007	0.000	0.000	0.008	0.017	0.016	-0.009	0.000	0.013	0.000	-0.005	0.000	0.017	0.001	0.014	0.008	0.000	1.000

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

	id	Gender	Age	Height	Weight	family_history_with_overweight	FAVC	FCVC	NCP	CAEC	SMOKE	CH2O	SCC	FAF	TUE	CALC	MTRANS	WeightCategory
0	0	Male	24.443011	1.699998	81.669950	yes	yes	2.000000	2.983297	Sometimes	no	2.763573	no	0.000000	0.976473	Sometimes	Public_Transportation	Overweight_Level_II
1	1	Female	18.000000	1.560000	57.000000	yes	yes	2.000000	3.000000	Frequently	no	2.000000	no	1.000000	1.000000	no	Automobile	Normal_Weight
2	2	Female	18.000000	1.711460	50.165754	yes	yes	1.880534	1.411685	Sometimes	no	1.910378	no	0.866045	1.673584	no	Public_Transportation	Insufficient_Weight
3	3	Female	20.952737	1.710730	131.274851	yes	yes	3.000000	3.000000	Sometimes	no	1.674061	no	1.467863	0.780199	Sometimes	Public_Transportation	Obesity_Type_III
4	4	Male	31.641081	1.914186	93.798055	yes	yes	2.679664	1.971472	Sometimes	no	1.979848	no	1.967973	0.931721	Sometimes	Public_Transportation	Overweight_Level_II
5	5	Male	18.128249	1.748524	51.552595	yes	yes	2.919751	3.000000	Sometimes	no	2.137550	no	1.930033	1.000000	Sometimes	Public_Transportation	Insufficient_Weight
6	6	Male	29.883021	1.754711	112.725005	yes	yes	1.991240	3.000000	Sometimes	no	2.000000	no	0.000000	0.696948	Sometimes	Automobile	Obesity_Type_II
7	7	Male	29.891473	1.750150	118.206565	yes	yes	1.397468	3.000000	Sometimes	no	2.000000	no	0.598655	0.000000	Sometimes	Automobile	Obesity_Type_II
8	8	Male	17.000000	1.700000	70.000000	no	yes	2.000000	3.000000	Sometimes	no	3.000000	yes	1.000000	1.000000	no	Public_Transportation	Overweight_Level_I
9	9	Female	26.000000	1.638836	111.275646	yes	yes	3.000000	3.000000	Sometimes	no	2.632253	no	0.000000	0.218645	Sometimes	Public_Transportation	Obesity_Type_III

	id	Gender	Age	Height	Weight	family_history_with_overweight	FAVC	FCVC	NCP	CAEC	SMOKE	CH2O	SCC	FAF	TUE	CALC	MTRANS	WeightCategory
15523	15523	Male	19.000000	1.800000	85.000000	yes	no	3.000000	3.000000	Sometimes	no	3.000000	no	3.000000	0.000000	Sometimes	Walking	Overweight_Level_I
15524	15524	Male	24.000000	1.700000	62.000000	yes	no	2.000000	3.000000	Frequently	no	2.000000	no	0.000000	1.000000	Sometimes	Public_Transportation	Normal_Weight
15525	15525	Female	21.000000	1.560000	50.000000	no	yes	2.000000	3.000000	Sometimes	no	1.000000	no	0.000000	1.000000	no	Public_Transportation	Normal_Weight
15526	15526	Male	21.000000	1.720000	66.000000	no	yes	2.000000	3.000000	Sometimes	no	2.000000	no	1.000000	1.000000	no	Public_Transportation	Normal_Weight
15527	15527	Female	19.911246	1.532643	42.000000	no	yes	2.746408	3.994588	Frequently	no	1.000000	no	2.000000	0.000000	Sometimes	Public_Transportation	Insufficient_Weight
15528	15528	Male	18.000000	1.700000	50.000000	no	yes	2.000000	3.000000	Frequently	no	2.000000	no	1.000000	2.000000	Sometimes	Public_Transportation	Insufficient_Weight
15529	15529	Male	18.000000	1.763101	55.523481	yes	yes	2.786008	3.000000	Sometimes	no	1.962646	yes	0.028202	1.561272	Sometimes	Public_Transportation	Insufficient_Weight
15530	15530	Female	19.010211	1.686936	49.660995	no	yes	1.053534	3.452590	Sometimes	no	1.000000	no	2.001230	1.000000	Sometimes	Public_Transportation	Insufficient_Weight
15531	15531	Male	22.777890	1.805445	85.228116	yes	yes	2.000000	2.092179	Sometimes	no	2.452986	no	0.796770	0.000000	Sometimes	Public_Transportation	Overweight_Level_I
15532	15532	Male	39.371523	1.770278	79.677930	yes	yes	2.407817	1.097312	Sometimes	no	2.205911	no	0.977929	0.000000	Frequently	Automobile	Overweight_Level_II

Overview

Variables

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Connector Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Connector Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Interactions

Correlations

Missing values

Sample